Top Data Science Jobs in Santa Cruz, CA

Drive actionable insights and inform corporate strategies through advanced modeling, data mining, analytics, and market intelligence. Skills in data visualization, data analysis, machine learning, technical proficiency, coding, BI tools, strong communication, and collaboration are required. Master's degree in data science related areas and 2+ years of professional analytical experience preferred.

The Senior Data Scientist will develop predictive models using machine learning and statistical methods on data collected from 3D sources, leveraging tools like Python and AWS. Responsibilities include preparing data, performing iterative solutions, and working collaboratively in a dynamic team.

The Senior Quantitative Scientist will solve complex real-world problems in healthcare by leveraging real-world data across multiple therapeutic areas. This role requires interfacing with life science companies, focusing on clinical development and providing insight generation and consultative support to commercial partners.

Lead the development and implementation of advanced data analytics solutions to drive actionable insights and optimize performance of the autonomous marketing platform. Collaborate with business and product teams to analyze key data insights and translate them into integrated product solutions. Build machine learning models to deliver data-driven insights to customers.

The Data Scientist will enhance the company's data science and machine learning capabilities, driving statistical modeling, improving product recommendation systems, and developing predictive models. Responsibilities include managing the lifecycle of data science projects, collaborating with engineers for deployment, and turning insights into automated services.

The Senior Data Science Consultant will lead client engagements in various industries, focusing on building machine learning algorithms, mentoring team members, and collaborating with stakeholders. Responsibilities include data modeling, conducting ad-hoc analyses, and presenting results to both internal and external parties.

The Solutions Analytics Data Scientist will conduct data evaluations for partners, analyzing performance data and providing insights into fraud patterns. Responsibilities include collaborating with cross-functional teams, delivering reports, and communicating complex findings to stakeholders. The role aims to optimize SentiLink's products and demonstrate their value to partners.